7 articles in this issue
 
Mari Tilk,Katri Ots,Tea Tullus
Aim of the study: To investigate terrestrial bryophyte and lichen species richness and environmental factors affecting the composition of species.Area of the study: Four Boreal zone fixed dunes were selected in the coastal area of the Baltic Sea in southw... see more
Sanna Olsson,Delphine Grivet,Jeronimo Cid-Vian
Aim of study: The identification of material of forest tree species using genetic markers was carried out. Two promising chloroplast barcode markers, matK and ycf1, were tested for species identification and reconstruction of phylogenetic relationships in... see more
Jaime Coello,Míriam Piqué,Pere Rovira,Carla Fuentes,Aitor Ameztegui
Aim of study: To assess the effectiveness for improving early seedling performance of the individual and combined application of (i) various doses of an innovative soil conditioner including polyacrylamide-free super-absorbent polymers, fertilizers, root ... see more
Marian Dragoi,Ionut Barnoaiea
Aim of study: To better estimate the annual allowable cut reserve (AACR), taking into consideration the endemic windthrows (EW), we combined a series of existing algorithms into a coherent methodology to use the data available at district level, without a... see more
Pedram Attarod,Qiuhong Tang,John Van Stan II,Xingcai Liu
Aim of study: To understand throughfall (TF) sensitivity to variability in rainfall amount (Pg) for typical forest sites across the main climate types of Iran.Area of study: Nine forest stands of several common native and introduced tree species situated ... see more
Miguel Garcia-Hidalgo,Ángela Blázquez-Casado,Beatriz Águeda,Francisco Rodriguez
Aim of study: The main objective is to determine the best machine-learning algorithm to classify the stand types of Monteverde forests combining LiDAR, orthophotography, and Sentinel-2 data, thus providing an easy and cheap method to classify Monteverde s... see more